Data validation in the Kepler Science Operations Center pipeline

Hayley Wu; Joseph D. Twicken; Peter Tenenbaum; Bruce D. Clarke; Jie Li; Elisa V. Quintana; Christopher Allen; Hema Chandrasekaran; Jon M. Jenkins; Douglas A. Caldwell; Bill Wohler; Forrest Girouard; Sean McCauliff; Miles T. Cote; Todd C. Klaus

doi:10.1117/12.856630

19 July 2010 Data validation in the Kepler Science Operations Center pipeline

Hayley Wu, Joseph D. Twicken, Peter Tenenbaum, Bruce D. Clarke, Jie Li, Elisa V. Quintana, Christopher Allen, Hema Chandrasekaran, Jon M. Jenkins, Douglas A. Caldwell, Bill Wohler, Forrest Girouard, Sean McCauliff, Miles T. Cote, Todd C. Klaus

Author Affiliations +

Proceedings Volume 7740, Software and Cyberinfrastructure for Astronomy; 774019 (2010) https://doi.org/10.1117/12.856630
Event: SPIE Astronomical Telescopes + Instrumentation, 2010, San Diego, California, United States

Abstract

We present an overview of the Data Validation (DV) software component and its context within the Kepler Science Operations Center (SOC) pipeline and overall Kepler Science mission. The SOC pipeline performs a transiting planet search on the corrected light curves for over 150,000 targets across the focal plane array. We discuss the DV strategy for automated validation of Threshold Crossing Events (TCEs) generated in the transiting planet search. For each TCE, a transiting planet model is fitted to the target light curve. A multiple planet search is conducted by repeating the transiting planet search on the residual light curve after the model flux has been removed; if an additional detection occurs, a planet model is fitted to the new TCE. A suite of automated tests are performed after all planet candidates have been identified. We describe a centroid motion test to determine the significance of the motion of the target photocenter during transit and to estimate the coordinates of the transit source within the photometric aperture; a series of eclipsing binary discrimination tests on the parameters of the planet model fits to all transits and the sequences of odd and even transits; and a statistical bootstrap to assess the likelihood that the TCE would have been generated purely by chance given the target light curve with all transits removed.

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Hayley Wu, Joseph D. Twicken, Peter Tenenbaum, Bruce D. Clarke, Jie Li, Elisa V. Quintana, Christopher Allen, Hema Chandrasekaran, Jon M. Jenkins, Douglas A. Caldwell, Bill Wohler, Forrest Girouard, Sean McCauliff, Miles T. Cote, and Todd C. Klaus "Data validation in the Kepler Science Operations Center pipeline", Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 774019 (19 July 2010); https://doi.org/10.1117/12.856630

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